An Improved Approach to 6D Object Pose Tracking in Fast Motion Scenarios. - Yanming Wu 001; Patrick Vandewalle; Peter Slaets; Eric Demeester (IRC, 2022)

BIG-Net: Deep Learning for Grasping With a Bio-Inspired Soft Gripper. - Hui Zhang 092; Yanming Wu 001; Eric Demeester; Karel Kellens (IEEE Robotics Autom. Lett., 2023)

Augmenting cobots for sheet-metal SMEs with 3D object recognition and localisation. - Martijn Cramer; Yanming Wu 001; David De Schepper; Eric Demeester (CoRR, 2025)

6D Pose Estimation of Pallet Bins for Autonomous Logistics Using a Synthetically Trained Object Detector and FoundationPose. - Yanming Wu 001; Eric Demeester (ICPRAM, 2026)

SegFusion: Segmenting, Tracking, and Mapping of Multiple Unknown Moving Objects in Dynamic SLAM. - Yanming Wu 001; Eric Demeester (IEEE Access, 2026)

A comprehensive review on advances in instance-level 6D object pose tracking. - Yanming Wu 001; Hui Zhang 092; Patrick Vandewalle; Peter Slaets; Eric Demeester (Comput. Vis. Image Underst., 2026)